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Get Market Overview

get_market_overview
Read-only

Get a complete market brief for a location in one call — stats + trend + health score.

Bundles three queries in parallel: market statistics (prices, volume), annual price trend (1-year change %), and health score (0–100).

Use this as the first tool for any "how is the market in X?" question. It replaces calling analyze_market_statistics + analyze_price_trends + score_market_health separately (saves 15–25 credits).

REQUIRED: At least one location filter:

  • code_postal (e.g., "75011")

  • commune (e.g., "PARIS 11" — uppercase; Paris uses "PARIS 01"–"PARIS 20")

  • code_departement (e.g., "69")

  • latitude + longitude for radius search

Optional:

  • type_local: "Maison", "Appartement", "Terrain", "Local commercial"

  • radius_m: search radius in meters (default: 500)

Returns:

  • stats: count, median/avg price, price/m², median surface

  • trend: direction (increasing/stable/decreasing), 1-year change %, overall change %

  • health: score (0–100), label (Calme/Modéré/Dynamique/Très actif), data quality Note: health score requires code_postal/commune/code_departement (not available for lat+lon only searches)

Score interpretation: 0–30 Calme · 31–60 Modéré · 61–80 Dynamique · 81–100 Très actif

Cost: 10 credits per call

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
communeNoNom de commune en MAJUSCULES (ex. 'PARIS 11', 'LYON')
latitudeNoLatitude GPS (nécessite longitude)
radius_mNoRayon en mètres (défaut : 500)
longitudeNoLongitude GPS (nécessite latitude)
type_localNoType de bien
code_postalNoCode postal (ex. '75011')
code_departementNoCode département (ex. '75', '69')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only declare readOnlyHint and openWorldHint, so the description carries the rest and delivers: per-call cost (10 credits), the credit savings vs. alternatives, and a non-obvious behavioral constraint that the health score is unavailable for lat+lon-only searches. It also gives score interpretation bands (0–30 Calme … 81–100 Très actif), which meaningfully describe output behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the one-line purpose, then organized into required/optional/returns sections with clear headers. Slightly long with some restatement (the health requirement appears twice), but every block is scannable and useful given no output schema exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description fully documents the return shape (stats, trend, health components), the location-filter requirements, the health limitation, cost, and score interpretation. Nothing an agent needs to invoke or interpret the result is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already 100%, so the baseline is 3, but the description adds real semantics beyond the schema: it notes commune must be uppercase with the 'PARIS 01'–'PARIS 20' convention, gives concrete examples per filter, and crucially states that health requires code_postal/commune/code_departement (not lat+lon). That cross-parameter constraint is not derivable from the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb, resource, and scope: 'Get a complete market brief for a location in one call — stats + trend + health score.' It explicitly distinguishes itself from siblings by naming the three tools it consolidates (analyze_market_statistics, analyze_price_trends, score_market_health). An agent can route to it without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ('first tool for any "how is the market in X?" question') plus named alternatives it replaces and the cost rationale (saves 15–25 credits). This is the strongest form of routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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